{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T23:25:20Z","timestamp":1793489120791,"version":"4.5.0"},"reference-count":58,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T00:00:00Z","timestamp":1670889600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Lumbar intervertebral disc degeneration (IVDD) is an important cause of low back pain or sciatica, and metabolic factors play an important role. However, little is known about the relationship of dyslipidemia to the risk of intervertebral disc degeneration (IVDD). This study aimed to assess the impact of serum lipid levels on the severity of lumbar disc degeneration and to investigate its association with endplate inflammation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We conducted a case retrospective study in which a total of 302 hospitalized Chinese patients were recruited, of whom 188 (112 males and 76 females; mean age: 51.66 years) were without underlying disease, while the remaining 114 patients (51 males and 63 females; mean age: 62.75 years) had underlying diseases. We examined fasting serum lipid levels for total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Magnetic resonance imaging (MRI) was used to determine endplate inflammation. Pfirrmann grading and Weishaupt grading were used to evaluate the severity of intervertebral disc degeneration and facet joint degeneration, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>There was no difference in age, gender, and general BMI between the two groups (<jats:italic>P<\/jats:italic> &amp;gt; 0.05), but there were significantly high levels in TC, LDL-C, and LDL-C\/HDL-C (<jats:italic>P<\/jats:italic> = 0.04, <jats:italic>P<\/jats:italic> = 0.013, <jats:italic>P<\/jats:italic> = 0.01, respectively). TG and HDL-C showed no significant difference (<jats:italic>P<\/jats:italic> = 0.064, <jats:italic>P<\/jats:italic> = 0.336, respectively). The multivariate logistic regression model showed that age was a risk factor for the occurrence of endplate inflammation. In the group without underlying diseases, age, but not other indicators, was a risk factor for the occurrence of endplate inflammation (<jats:italic>P<\/jats:italic> &amp;lt; 0.01), In the group with underlying diseases, none of the patient indicators was directly related to the occurrence of endplate inflammation (<jats:italic>P<\/jats:italic> &amp;gt; 0.05). A nonlinear machine learning model was used to measure the contribution of each factor to the disease outcome and to analyze the effect between the top three contributing factors and the outcome variables. In patients without underlying diseases, the top three factors contributing to the severity grading of intervertebral disc degeneration were age (32.9%), high-density lipoproteins (20.7%), and triglycerides (11.8%). For the severity grading of facet joint degeneration, the top three contributing factors were age (27.7%), high-density lipoproteins (19.4%), and triglycerides (14.6%). For patients with underlying diseases, the top three factors contributing to intervertebral disc degeneration were age (25.4%), BMI (15.3%), and low-density lipoprotein\/high-density lipoprotein ratio (13.9%). In terms of degree classification for facet joint degeneration, the top three contributing factors were age (17.5%), BMI (17.2%), and total cholesterol (16.7%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study shows that age, high-density lipoprotein, and triglycerides affect the degree of degeneration in patients with symptomatic lumbar degeneration without underlying diseases. Age and BMI are two major factors affecting the severity of degeneration in patients with underlying diseases, and dyslipidemia is a secondary factor. However, there is no clear association between dyslipidemia and the occurrence of endplate inflammation in either group.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnut.2022.1033375","type":"journal-article","created":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T04:38:36Z","timestamp":1670906316000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Impact of dyslipidemia on the severity of symptomatic lumbar spine degeneration: A retrospective clinical study"],"prefix":"10.3389","volume":"9","author":[{"given":"Zhonglian","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiechen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yihong","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muxin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youbin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yilin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangshuai","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruitian","family":"Ke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongjiang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,12,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1097\/00007632-200002150-00016","article-title":"Low back pain in relation to lumbar disc degeneration.","volume":"25","author":"Luoma","year":"2000","journal-title":"Spine."},{"key":"B2","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1136\/annrheumdis-2014-205393","article-title":"Reflecting on the global burden of musculoskeletal conditions: lessons learnt from the global burden of disease 2010 study and the next steps forward.","volume":"74","author":"Hoy","year":"2015","journal-title":"Ann Rheum Dis."},{"key":"B3","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.jot.2022.03.006","article-title":"Injectable hydrogel with nucleus pulposus-matched viscoelastic property prevents intervertebral disc degeneration.","volume":"33","author":"Jia","year":"2022","journal-title":"J Orthop Translat."},{"key":"B4","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1016\/S0140-6736(18)32279-7","article-title":"Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the global burden of disease study 2017.","volume":"392","author":"Disease","year":"2018","journal-title":"Lancet."},{"key":"B5","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/S0140-6736(21)00733-9","article-title":"Low back pain.","volume":"398","author":"Knezevic","year":"2021","journal-title":"Lancet."},{"key":"B6","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1111\/pme.12229","article-title":"What is the evidence that neuropathic pain is present in chronic low back pain and soft tissue syndromes? 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